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A generic standard additions based method to determine endogenous analyte concentrations by immunoassays to overcome
1LGC, Queens Road, Teddington, UK. Susan.Pang@lgcgroup.com.
This study introduces a new method to accurately measure analyte concentrations in biological samples like plasma. The technique simplifies quantification by analyzing immunoassay responses after sample spiking, eliminating the need for traditional standard curves.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Immunology
Background:
- Accurate quantification of endogenous analytes in biological matrices is crucial for diagnostics and research.
- Traditional immunoassay methods often require complex standard curves and calibrant diluents, which can be prone to matrix effects.
- Matrix interference in biological samples can significantly impact immunoassay accuracy.
Purpose of the Study:
- To develop a novel, generic method for determining unknown endogenous analyte concentrations in complex biological matrices.
- To overcome limitations of conventional relative quantification methods in immunoassays.
- To account for individual matrix interferences by directly spiking the test sample.
Main Methods:
- A new numerical method is proposed, based on the relationship between immunoassay signal response and log-transformed estimated total analyte concentration.
- The method utilizes a log-log plot where a near-linear relationship indicates correct analyte concentration estimation.
- The technique is analogous to standard additions used for chemical analytes and requires spiking the test sample itself.
Main Results:
- The novel method reliably determines unknown endogenous analyte concentrations in biological samples, including 2-fold diluted human plasma.
- As few as four reaction wells are sufficient for reliable quantification.
- The approach obviates the need for conventional internal standard curves and calibrant diluents.
Conclusions:
- This generic method offers a simplified and accurate approach to analyte quantification in biological matrices.
- The technique effectively addresses matrix interference by incorporating sample-specific spiking.
- It provides a robust alternative for determining endogenous analyte concentrations in various biological samples.
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